Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
4034
Single Precision Score
1943
Half Precision Score
7548
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 08:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E30 |
| Motherboard | Micro-Star International Co., Ltd. B650M BOMBER WIFI (MS-7E30) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3513
653.3 IPS |
|
|
Image Classification (HP)
|
100% |
803
149.4 IPS |
|
|
Image Classification (Q)
|
99% |
8024
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1561
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1051
17.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3905
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6280
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
5148
6.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
22045
25.8 IPS |
|
|
Object Detection (SP)
|
100% |
2991
237.3 IPS |
|
|
Object Detection (HP)
|
100% |
1029
81.6 IPS |
|
|
Object Detection (Q)
|
86% |
7645
614.4 IPS |
|
|
Face Detection (SP)
|
100% |
5338
63.4 IPS |
|
|
Face Detection (HP)
|
100% |
2052
24.4 IPS |
|
|
Face Detection (Q)
|
97% |
10272
122.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7890
60.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2746
21.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
15776
125.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15484
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13296
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
17984
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3152
116.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2643
97.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4547
168.4 IPS |
|
|
Text Classification (SP)
|
100% |
2015
2.69 KIPS |
|
|
Text Classification (HP)
|
100% |
939
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
2272
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2680
46.2 IPS |
|
|
Machine Translation (HP)
|
100% |
927
16.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3777
75.9 IPS |
